Unveiling the Potential of Amazon Quantum Ledger Database (QLDB): Features, Management, and Applications. Enhancing MySQL with QLDB-like Transaction Management.

Rohan_157
Virtual Force Inc.
Published in
6 min readJun 19, 2023
QLDB — Quantum Ledger Database

Let’s start with the definition:

Amazon Quantum Ledger Database (QLDB) is a fully managed serverless and scalable ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log.

There are a ton of scalable databases provided by Amazon, but what makes QLDB stand out among the others when it comes to managing transactions is that QLDB only allows append operations on the database. Insert, update, and delete operations in Amazon QLDB are always appended, either by adding a new version of an existing document or inserting a unique new document. This means that there is no write-in-place operation available in Amazon QLDB and, as a result, any change is tracked by a complete and immutable (can’t be altered) lineage of all changes to data.

Furthermore, built-in cryptographic hashing and verification APIs allow us to mathematically prove that no change has been made to a given document or its history of revisions.

Also, it comes with a rich query language that allows us to query the database using SQL-like syntax, which makes it easy for us to perform complex queries and retrieve data in a format that is most suitable for our application.

In short, the basic purpose of QLDB is to help provide applications with a tamper-proof database.

Even though in QLDB we have to create all the tables ourselves, it also provides some built-in features or templates such as transaction management, that can help us build a secure and reliable database.

QLDB’s transaction management feature ensures the atomicity, consistency, isolation, and durability of database transactions.

Insight on QLDB’s transaction Management Feature:

Some additional details about QLDB’s transaction management feature:

  • QLDB’s transaction management is built around a ledger, which is a complete immutable history of all the changes made to the database. Each transaction in the ledger is assigned a unique identifier, and the ledger ensures that all changes made within a transaction are committed atomically, in the order in which they were made.
  • It maintains a journal, which is a chronological record of all changes made to the database. The journal provides a tamper-evident record of all changes to the database, and it can be used to audit and verify the integrity of the ledger.
  • QLDB allows us to create smart transactions, which are executable code that runs within a transaction. Smart transactions can perform complex business logic and validation checks, and they can be used to automate routine tasks or enforce business rules.
  • The DataBase stores a complete history of all the queries executed against the database, including the time, user, and query string. This provides a complete audit trail of all database activity, and it can be used for troubleshooting and debugging purposes.
  • QLDB allows us to create time-based indexes, which enable us to query the database using temporal predicates. Time-based indexes can be used to find the state of the database at a specific point in time or to query the database for changes that occurred within a specific time range.
  • It also allows us to perform transactions across multiple documents in a single transaction. This enables us to maintain consistency across related documents and ensures that changes are committed atomically, even if they affect multiple documents.

Overall, QLDB’s transaction management feature provides a robust and flexible way to manage our database transactions. The combination of a tamper-evident ledger, smart transactions, and time-based indexing provides a high degree of consistency and reliability, and it enables us to perform complex business logic and validation checks within a single transaction.

Built-In Tables in QLDB:

Amazon QLDB is a document-oriented database that stores data in tables. While we can create custom tables to store data specific to your application, QLDB also provides several built-in tables that are used for managing the ledger and metadata. Here are some of the main built-in tables in QLDB:

_ql_committed_transactions: This table stores information about the committed transactions in the ledger, such as the transaction ID, hash, and commit time.

_ql_ledger_metadata: This table stores metadata about the ledger, such as the ledger name, creation time, and version.

_ql_streams: This table stores information about the streams in the ledger, such as the stream ID, creation time, and status.

_ql_system_information: This table stores system-level information about the ledger, such as the software version, schema version, and journal export status.

_ql_user_tables: This table stores information about the user-defined tables in the ledger, such as the table name, creation time, and indexes.

_ql_indexes: This table stores information about the indexes defined on the user-defined tables, such as the index name, indexed attributes, and status.

These built-in tables are managed by QLDB and are not intended to be modified directly. Instead, we can use QLDB’s API and query language to interact with these tables and access the information they contain.

Sample Applications/Templates in QLDB:

Here are some details regarding the sample applications and templates that QLDB provides.

  • Supply Chain Management (SCM) application: This is a sample application that demonstrates how QLDB can be used to track the movement of goods in a supply chain. The application uses QLDB to store the chain of custody for a shipment of goods and provides a web interface for viewing the current state of the shipment.
  • Voting application: This is a sample application that demonstrates how QLDB can be used to build a transparent and auditable voting system. The application uses QLDB to store votes and provides a web interface for voters to cast their votes and for administrators to view the results.
  • Serverless Blockchain Connector: This is an AWS Serverless Application Model (SAM) template that provides a serverless architecture for connecting QLDB with Ethereum, Hyperledger Fabric, and Corda blockchains. The template uses AWS Lambda and Amazon API Gateway to create a RESTful API for interacting with the blockchain.
  • Digital Identity: This is an app that demonstrates how QLDB can be used to store and manage digital identities. The application uses QLDB to store identity attributes and provides a web interface for managing identities.
  • Vehicle Registration: This application demonstrates how QLDB can be used to store and manage vehicle registration data. The application uses QLDB to store vehicle registration information and provides a web interface for querying the database.

These sample applications and templates can be used as a starting point for building custom applications on QLDB. They provide examples of how QLDB can be used to solve real-world problems and can help developers to understand the capabilities of the QLDB service.

How can we make our MySQL Database more Like QLDB’s transaction management feature?

Few tips to achieve transaction management features in MySQL database:

  • We can use the InnoDB storage engine as InnoDB by default uses the ACID properties to ensure that transactions are atomic, consistent, isolated, and durable.
  • We can use transactions in our application code, to maintain the integrity of our data when making changes to the database. This means grouping all the database operations that need to be performed atomically and consistently within a single transaction.
  • Use foreign key constraints and other database constraints in MySQL, to enforce data consistency and integrity. This helps prevent orphaned records or other data inconsistencies.
  • To ensure the durability of our data, we need to have a backup and recovery plan in place. This means regularly backup our database and having a plan in place to restore it in the event of a system failure.

Conclusion:

In conclusion, Amazon Quantum Ledger Database (QLDB) is a powerful tool for building applications that require strong data consistency, integrity, and transaction management. QLDB provides a fully managed, scalable, and serverless solution for storing, managing, and querying data using a transparent, immutable, and tamper-evident ledger. With its ACID transactions, multi-document transactions, optimistic concurrency control, PartiQL support, and journaling capabilities, QLDB ensures that data is accurate, consistent, and auditable, even in the face of concurrent transactions and system failures. QLDB can be used for a wide range of use cases, including financial services, supply chain management, identity and access management, and more. With its ease of use, scalability, and reliability, QLDB is a valuable tool for businesses looking to leverage the benefits of blockchain technology without the complexity and overhead of traditional blockchain solutions.

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Rohan_157
Virtual Force Inc.

I am a Learner, a CS Graduate, a Software Engineer and a .NET developer. I am AWS Certified and also a React Js developer.